The 3 Things You Need To Know About Predictive AI
How does "Moneyball" differ in its portrayal of using statistics?
"Moneyball" showcases the use of statistics in baseball to identify undervalued players and build a competitive team on a limited budget. It differs from traditional portrayals by focusing on data-driven decision-making and challenging conventional wisdom in player evaluation and recruitment.
What are the cultural challenges facing the adoption of predictive AI?
The cultural challenges facing the adoption of predictive AI include a lack of understanding of probability-based decision making, a preference for deterministic outcomes, and a tendency to overlook the importance of predictive AI in favor of generative AI. These challenges contribute to a resistance to embracing probabilistic thinking in business decision making.
Why is predictive AI less popular than generative AI currently?
Predictive AI is currently less popular than generative AI due to a few reasons. First, the recent success of generative AI models, such as ChatGPT, has captured the public's imagination with their ability to create human-like content3. Second, predictive AI deals with probabilities, which may not be as appealing or straightforward as the tangible content generated by generative AI. Lastly, there is a cultural aversion to probabilities, as they are often seen as complex or uninteresting compared to the creative and innovative nature of generative AI.